LG and NVIDIA are intensifying their strategic collaboration across future industries, including robotics, artificial intelligence (AI) factories, and mobility. LG plans to unveil a bipedal humanoid robot in the first quarter of 2027, leveraging NVIDIA's AI platform alongside its own capabilities in electronics, batteries, communications, and IT.
On August 13, LG announced that it signed a memorandum of understanding (MOU) for strategic business cooperation with NVIDIA at the company's headquarters in Santa Clara, California.
The event was attended by LG Chairman Koo Kwang-mo, Chief Operating Officer Kwon Bong-seok, LG Electronics CEO Ryu Jae-cheol, LG Uplus CEO Hong Beom-sik, LG CNS CEO Hyun Shin-kyun, LG Science Park CEO Jeong Soo-heon, and LG AI Research Institute co-director Lee Hong-rak, among other executives. NVIDIA's founder and CEO Jensen Huang and other top executives were also present.
This MOU follows a meeting between the two companies' CEOs held on June 8 at LG Twin Towers in Yeouido, Seoul. The partnership aims to go beyond simple technology exchanges and solution provision, focusing on joint technology development and commercialization in three key areas: robotics, AI factories, and mobility.
The first visible outcome will be in robotics. LG aims to develop a next-generation bipedal humanoid robot based on NVIDIA's open humanoid foundation model, Isaac GR00T, with a target launch in the first quarter of 2027.
The humanoid robot will be equipped with NVIDIA's Jetson Thor for advanced reasoning and control. Key technologies from LG's subsidiaries, including actuators from LG Electronics, sensors from LG Innotek, and batteries from LG Energy Solution, will be integrated. This strategy, termed 'One LG,' combines NVIDIA's AI capabilities with LG's hardware strengths.
LG will also conduct on-site demonstrations for the commercialization of the robot. This year, LG Electronics plans to deploy a wheeled robot, LG CLOiD, on the washing machine production line at its factory in Tennessee for proof of concept. The company intends to expand the application of robots to global production facilities as well as residential and commercial spaces.
Additionally, LG CNS will collaborate on building a physical AI data factory using its robot platform, PhysicalWorks. Data and experiences gathered from the field will enhance the performance of LG's self-developed Robot Foundation Model (RFM).
In the AI factory sector, the companies will target the global market based on NVIDIA's DSX architecture. They will integrate LG Electronics' cooling technology, LG Energy Solution's batteries, and the design and operational capabilities of LG CNS and LG Uplus, along with LS's power solutions.
In the first half of next year, they plan to establish an AI factory reference site to validate LG's cooling, power, and IT technologies based on NVIDIA's next-generation AI platform, Vera Rubin. By the first half of 2028, they aim to expand this site to an 80-megawatt scale in Cheonan, South Chungcheong Province, utilizing prefab modular designs to reduce construction time by over 20%.
This foundation will enable them to actively pursue contracts for AI infrastructure targeting global big tech companies, offering an integrated AI factory solution from design to construction and operation as a 'One LG' package.
In the mobility sector, they will develop a high-performance computing platform for next-generation AI-defined vehicles (AIDV) by combining NVIDIA's Drive Hyperion platform with LG's in-vehicle infotainment (IVI) and software capabilities.
This initiative will expand LG's automotive business from a focus on IVI to include autonomous driving. The goal is to secure new contracts by supplying solutions that integrate autonomous driving features and AI services within vehicles to global automakers.
The two companies will form a joint task force to collaborate throughout the research and development (R&D), on-site demonstration, and commercialization processes. LG aims to establish a reference that combines NVIDIA's AI ecosystem with its subsidiaries' manufacturing and hardware capabilities, positioning itself at the forefront of the physical AI era.
Koo stated, "As our collaboration accelerates, the tasks we will tackle together in AI factories, physical AI, and mobility have become clear. We will expedite the spread of AI by building industry-leading references."
Huang remarked, "Building on years of collaboration, LG's leadership in product engineering and manufacturing combined with NVIDIA's technology is propelling us into a new era of robotics, AI factories, and autonomous vehicles."
* This article has been translated by AI.
Copyright ⓒ Aju Press All rights reserved.